Books like Information Theory, Inference & Learning Algorithms by David J.C. MacKay

Name: Information Theory, Inference & Learning Algorithms
Rating: 4 (1 reviews)
Author: David J.C. MacKay

📘 Information Theory, Inference & Learning Algorithms by David J.C. MacKay

This textbook offers a comprehensive treatment of Shannon's theory of information, covering core theorems such as the source encoding and noisy channel theorems, while simultaneously presenting practical systems including arithmetic coding for data compression and sparse‑graph codes for error‑correction. It introduces a suite of inference techniques—message‑passing algorithms, Monte Carlo methods, and variational approximations—and demonstrates their application to a range of topics such as clustering, convolutional codes, independent component analysis, and neural networks. Designed for both students and researchers, the book includes numerous examples and exercises that bridge theory and practice in machine learning, probabilistic data modeling, and modern communication systems.

First publish date: 2003

Genre: Technology & Computing/Computer Science

Authors: David J.C. MacKay

★ ★ ★ ★ ★ 4.0 (1 community ratings)

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